Statistical Engineering Division SeminarA Latent Variable Model for Hybrid Data from Interlaboratory Comparisons
A new approach to estimate laboratory biases in interlaboratory comparisons is presented. Quantitative results as well as qualitative information from a survey (hybrid input data) are combined using a model that includes both a hierarchical regression model for biases and a structural equation model for the answers to the survey. The complete model applies when some latent variables explain simultaneously the measurement results and the answers to the survey.
NIST Contact: Dr. Antonio Possolo, (301) 975-2853.
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Date created: 7/14/2009
Last updated: 7/14/2009
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